Modern applied U-statistics
Resource Information
The work Modern applied U-statistics represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.
The Resource
Modern applied U-statistics
Resource Information
The work Modern applied U-statistics represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.
- Label
- Modern applied U-statistics
- Statement of responsibility
- Jeanne Kowalski; Xin M. Tu
- Language
- eng
- Summary
- "Built on years of collaborative research and academic experience, Modern Applied U-Statistics successfully presents a thorough introduction to the theory of U-statistics using in-depth examples and applications that address contemporary areas of study including biomedical and psychosocial research. Utilizing a "learn by example" approach, this book provides an accessible, yet in-depth, treatment of U-statistics, as well as addresses key concepts in asymptotic theory by integrating translational and cross-disciplinary research." "The authors begin with an introduction of the essential and theoretical foundations of U-statistics such as the notion of convergence in probability and distribution, basic convergence results, stochastic Os, inference theory, generalized estimating equations, as well as the definition and asymptotic properties of U-statistics. With an emphasis on nonparametric applications when and where applicable, the authors then build upon this established foundation in order to equip readers with the knowledge needed to understand the modern-day extensions of U-statistics that are explored in subsequent chapters."--BOOK JACKET
- Cataloging source
- BTCTA
- Dewey number
- 519.52
- Illustrations
- illustrations
- Index
- index present
- LC call number
- QA276.7
- LC item number
- .K68 2008
- Literary form
- non fiction
- Nature of contents
- bibliography
- Series statement
- Wiley series in probability and statistics
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